How an uninformed market gambled on data science to help combat the rise of tech-enabled disruptors. Why it failed, and how it’s finally paying off.

Image by mohamed Hassan from Pixabay

Disruption and the rise of data science

Financial crises act as accelerators of both creative destruction and technological accumulation. In the years following the 2008 financial crisis, widespread tech-enabled disruption produced a metamorphosis in the established order of America’s mega-corporations. …

Image by Maria_Domnina from Pixabay

At-home projects should be free, here’s how.

The ROI for a hobbyist is rarely measured in dollar bills. Instead, people start hobby projects because they’re interested; maybe to learn, maybe for fun, maybe to build a PoC for an idea which could eventually yield riches.

Consequently, people are generally unwilling to pay for services to get their…

Image by TheAndrasBarta, license.

In 7 simple steps

All innovative technologies will eventually pass over a ‘peak of inflated expectations’, a phenomenon especially true when said technology is backed by heavy marketing war-chests, which serve chiefly to fuel hype and exacerbate public expectations.

The landscape of Machine Learning is slowly maturing beyond its ‘I’m a hammer and everything…

An apt summary of public discourse about A.I. — by Tabor (license).

The public debate around A.I. is consequential for funding, research, regulation, and the extent of its malign misuse. Our discourse is failing because we collectively flaunt several definitions of the term.

The shiny hype train

Ever since the overworked and cringeworthy remark that data science is the sexiest job of the 21st century, and the resulting hype train that torpedoed the modern conception of Machine Learning — Breiman’s conception — from the academic fringes to the dizzying lights of the mainstream labour market, the frantic…

Andy Greatorex

London based data scientist @Revolut. Formerly in NYC @Barclays. Building stuff for the fun of it.

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